Director of Software Engineering-HR Domain

Your opportunity to make a real impact and shape the future of financial services is waiting for you. Lets push the boundaries of whats possible together.

As a Director of Software Engineering at JPMorgan Chase within Corporate Technology HR Pay & Time Technology you provide deep hands-on technical leadership across multiple application teams while remaining close to the code. You set the engineering bar architect and build highly scalable solutions and drive relentless innovationhelping the firm remain at the forefront of industry trends best practices and technological advances.

In this role you design and build custom highly scalable applications on AWS that power Compensation Benefits Payroll and Time for the largest bank in the world. You lead engineering for a portfolio of applications that must never go down blending modern serverless design multi-region active-active resiliency and AI-native development to deliver continuously across Web Mobile and conversational interfaces.

Job responsibilities

• Architects builds and operates custom highly scalable applications on AWS using serverless design patterns delivering mission-critical Compensation Benefits Payroll and Time capabilities
• Designs and runs multi-region active-active applications engineered for continuous availabilityresilient self-healing and built to never go downfor a large regulated globally distributed enterprise
• Leads hands-on development across the full stackWeb Mobile and conversational chatbuilding robust services with Java and Spring Boot Python and modern front-end frameworks and setting standards for clean secure testable and maintainable code
• Drives AI-native engineering: agentic development workflows prompt and loop engineering and AI-assisted development with Claude Code Copilot or similar tools to accelerate delivery while maintaining strong controls
• Builds MCP (Model Context Protocol) servers and custom agents that drive accurate low-latency interactions with conversational platforms such as Moveworksengineered for high accuracy and no hallucinations through grounding tool/function calling and guardrails
• Establishes and enforces modern engineering practicesCI/CD test-driven development (TDD) Infrastructure as Code Pipeline as Code automated security scanning and observability
• Manages and continuously innovates across a portfolio of applications balancing rapid iterative delivery with operational stability security and compliance-by-design
• Champions secure-by-design development with guardrails appropriate for a highly regulated industry supporting controls statutory and tax considerations segregation of duties and access management
• Partners with product platform and operations stakeholders to translate needs into pragmatic high-quality technical solutions; hires mentors and grows strong engineers; and champions the firms culture of diversity opportunity inclusion and respect
• Sets direction and governance for agentic AI-enabled engineering and SDLC/TLM automation within a technical area to drive measurable improvements in speed quality and operational outcomes (e.g. AI-orchestrated delivery workflows release readiness controls automated test modernization and incident triage acceleration) while establishing guardrails for validation security resiliency traceability and reuse across teams.
• Applies knowledge of tools within the Software Development Life Cycle toolchain including enterprise-authorized AI-assisted development and automation capabilities to improve the value realized by automation and support capacity unlock initiatives at scale.

Required qualifications capabilities and skills

• Formal training or certification on software engineering concepts and 10 years applied addition 5 years of experience leading technologists to manage anticipate and solve complex technical items within your domain of expertise.
• Deep current hands-on expertise developing on AWS with serverless design patterns (e.g. Lambda API Gateway DynamoDB EventBridge Step Functions)
• Expert in designing and operating multi-region active-active applications with high-availability resiliency and disaster-recovery patterns for systems that must never go down
• Strong programming expertise in Java with the Spring Boot and broader Spring framework (e.g. Spring Cloud Spring Security) and in Python with modern frameworks (e.g. FastAPI Flask)
• Modern full-stack development across Web Mobile and conversational interfaces including front-end frameworks (e.g. React TypeScript) and API-first design using GraphQL and REST
• Demonstrated experience with AI-native developmentagentic workflows prompt engineering and loop engineeringusing tools such as Claude Code Copilot or similar
• Experience building MCP servers and custom agents integrated with conversational/chatbot platforms (e.g. Moveworks) engineered for high accuracy and hallucination mitigation
• Strong command of CI/CD test-driven development (TDD) Infrastructure as Code and Pipeline as Code with automated testing and security embedded in pipelines
• Domain experience building applications across Compensation Benefits Payroll or Time
• Experience leading adoption of agentic AI-enabled engineering practices (using enterprise-authorized tools within the work environment) across teams including defining operating expectations (human-in-the-loop validation quality gates) measuring outcomes and ensuring secure handling of sensitive inputs/outputs.
• Strong understanding of responsible AI use and control expectations in engineering workflows including data sensitivity resiliency/security implications and governance; ability to influence leaders on safe scaling patterns and reuse.

Preferred qualifications capabilities and skills

• Experience with microservices and event-driven architecture using frameworks such as Spring Boot Spring Cloud and messaging/streaming platforms (e.g. Kafka)
• Experience with containerization and orchestration (e.g. Docker Kubernetes) and GitOps-based deployment on AWS
• Experience integrating large vendor/payroll ecosystems and delivering end-to-end automation toward touchless processing
• Experience evaluating and operationalizing emerging GenAI/agentic tooling with strong controls in an enterprise setting
• Experience leading globally distributed engineering teams
• Proven experience building secure code using guardrails appropriate for a highly regulated industry